Investigating the Factors Affecting the Export, Efficiency, and Export Capacity of Iranian Dates

Document Type : Original Research

Authors
Department of Agricultural Economics, Faculty of Agriculture, College of Agriculture and Natural Resources, University of Tehran, Karaj, Islamic Republic of Iran.
Abstract
This research investigates the factors influencing Iranian date exports by utilizing panel data and employing a fixed effects model from 2001 to 2023. The findings indicate that several factors positively influence date exports. These include trade advantages, the real effective exchange rate, the disparity between Iran's GDP and that of its trading partners, the logarithm of the ratio of export prices to domestic prices, and trade agreements with target countries. Conversely, the cost of exporting agricultural products to the target country and the impact of sanctions negatively affect Iranian date exports. The average efficiency of Iranian date exports is estimated at 0.8735, indicating an export shortfall of about 22%. There is a total of $16.55 million in unused export capacity for dates, compared to actual and potential exports. During the study period, the structure of Iran's date export market varied between a tight and a loose oligopoly. It is crucial to prioritize the enhancement and development of supply chains for Iran's main export products. The main challenges in the supply chain for these products involve acquiring production inputs, as well as the processes of packaging, sorting, and transportation.
Keywords
Subjects

1.       Abdullahi, N. M., Zhang, Q., Shahriar, S., Irshad, M. S., Ado, A. B. and Hou, X. 2022. Examining the Determinants and Efficiency of China’s Agricultural Exports Using a Stochastic Frontier Gravity Model. PLoS One, 17(9): e0274187. 
2.       Abdullahi, N. M., Huo, X., Zhang, Q. and Bolanle Azeez, A. 2021. Determinants and Potential of Agri-Food Trade Using the Stochastic Frontier Gravity Model: Empirical Evidence from Nigeria. Sage Open, 11(4): 1-12.
3.       Aigner, D., Knox Lovell, C. A. and Schmidt, P. 1977. Formulation and Estimation of Stochastic Frontier Production Function Models. J. Econom., 6(1): 21–37.
4.       Aminizadeh, M., Mohammadi, H., Karbasi, A. and Rafiee, H., 2025. Application of the Stochastic Frontier Gravity Model for Determining Seafood Export. J. Agric. Sci. Technol., 27(1): 1-15.
5.       Atif, R. M., Mahmood, H., Haiyun, L. and Mao, H. 2019. Determinants and Efficiency of Pakistan's Chemical Products' Exports: An Application of the Stochastic Frontier Gravity Model. PLoS One, 14(5): e0217210.
6.       Colloca, P., Roccato, M. and Russo S. 2024. Rally ‘Round the Flag Effects Are not for All: Trajectories of Institutional Trust among Populist and Non-Populist Voters. Soc. Sci. Res., 119: 1-11.
7.       Darko, R. O., Liu, J., Yuan, S., Sam-Amoah, L. K. and Yan, H. 2020. Irrigated Agriculture for Food Self-Sufficiency in the Sub-Saharan African Region. Int. J. of Agric. Biol. Eng.13(3): 1-12.
8.       De Wit, H. and Altbach, P. G. 2021. Internationalization in Higher Education: Global Trends and Recommendations for Its Future. Policy Rev. High. Educ., 5(1): 28-46.
9.       Ebaidalla, E. M. and Ali, M. E. M. 2023. Assessing Intra-Arab Trade Integration and Potential: Evidence from the Stochastic Frontier Gravity Model. Int. Trade J., 37(2): 221-239.
10.    Gyamfi, B. A., Divine, Q. A., Musah, M., Taiwo, O. S. and Prusty, S. 2023. The Synergistic Roles of Green Openness and Economic Complexity in Environmental Sustainability of Europe's Largest Economy: Implications for Technology-Intensive and Environmentally Friendly Products. Environ. Impact Assess. Rev., 102: 107220
11.    Irfan M., Madurai E. R., Ahmad M., Mohsin M., Dagar V. and Hao Y. 2022. Prioritizing and Overcoming Biomass Energy Barriers: Application of AHP and G-TOPSIS Approaches. Technol. Forecast. Soc. Change, 177: 121524.
12.    Jia, Z., Wang, Y., Chen, Y. and Chen, Y. 2022. The Role of Trade Liberalization in Promoting Regional Integration and Sustainability: The Case of the Regional Comprehensive Economic Partnership. PLoS One, 17(11): e0277977.
13.    Jiang, W., Zhang, H. and Lin, Y. 2022. Trade Sustainability and Efficiency under the Belt and Road Initiative: A Stochastic Frontier Analysis of China’s Trade Potential at the Industry Level. Emerg. Mark. Finance Trade, 58(6): 1740-1752.
14.    Kalirajan, K. and K. Singh 2008. A Comparative Analysis of China’s and India’s Recent Export Performances. Asian Econ. Pap., 7(1): 1–28.
15.    Kazem Pour, A., Rafiee, H., Noroozi, H, Zarer, S., Yousefzadeh, L. and Kaboudtabar, M. 2022. Prioritization of Iranian Tomato Target Markets Based on Market Competition Indicators. J. Agric. Econ. Dev.36(1): 49-65.
16.    Kazem Pour Kahriz, A., Rafiee, H., Ghaem Maghami, S. T., Noroozi, H. and Ghasemi, A. 2023. Analysis of Iran's Natural Honey Export Market Structure and Prioritization of Target Countries Based on Market Attractiveness Indicators. Agric. Econ. Dev.31(1): 49-72. 
17.    Kölling, A. 2020. Long‐Run Asymmetries in Labor Demand: Estimating Wage Elasticities of Labor Demand Using a Fractional Panel Probit Model. Labour34(1): 26-47. 
18.    Kunroo, M. H. and Ahmad, I. 2023. Heckscher-Ohlin Theory or the Modern Trade Theory: How the Overall Trade Characterizes at the Global Level?. J. Quant. Econ., 21: 151–174.
19.    Lahtinen, V., Dietrich, T. and Rundle-Thiele, S. 2020. Long Live the Marketing Mix. Testing the Effectiveness of the Commercial Marketing Mix in a Social Marketing Context. J. Social Mark., 10(3): 357–375.
20.    Li, S., Haralambides, H. and Zeng, Q. 2022. Economic Forces Shaping the Evolution of Integrated Port Systems: The Case of the Container Port System of China's Pearl River Delta. Res. Transp. Econ., 94(c): 101183.
21.    Maddala, G. C., Dobson, S. and Millen, E. 1995. Microeconomics, the Regulation of Monopoly. McGraw-Hill Book Company Press.
22.    Mhlanga, D. 2023. Artificial Intelligence and Machine Learning for Energy Consumption and Production in Emerging Markets: A Review. Energies16(2): 745.
23.    Nguyen, D. D. 2022. Determinants of Vietnam's Rice and Coffee Exports: Using Stochastic Frontier Gravity Model. J. Asian Bus. Econ. Stud., 29(1): 19-34. 
24.    Noroozi, H., Rafiei, H., Yazdani, S., Hosseini, S. S. and Chizari, A. H. 2022. Investigating and Determining the Export Priorities of Iran's Tomato Paste Product and the Factors Affecting It. Agric. Econ.. 16(3): 107-143. (in Persian with English Abstract)
25.    Noroozi, H., Rafiee, H., Hosseini, S. S., Yazdani, S. and Chizari, A. 2021. Analysis of Factors Affecting Sugar Import with Emphasis on the Role of Research and Development Budgets. J. Sugar Beet37(2): 247-262. (in Persian with English Abstract)
26.    Papke, L. E. and Wooldridge, J. M. 2008. Panel Data Methods for Fractional Response Variables with an Application to Test Pass Rates, J. Econom., 145(1–2): 121-133.
27.    Rehman, A., Ma, H., Ahmad, M., Ozturk, I. and Işık, C. 2021. Estimating the Connection of Information Technology, Foreign Direct Investment, Trade, Renewable Energy, and Economic Progress in Pakistan: Evidence from ARDL Approach and Cointegrating Regression Analysis. Environ. Sci. and Pollut. Res.28(36): 50623-50635. 
28.    Rehman, F. U. and Noman, A. A. 2022. China's outward Foreign Direct Investment and Bilateral Export Sophistication: A Cross-Country Panel Data Analysis. China Financ. Rev. Int., 12(1): 180–197. 
29.    Shibata, S., Fukumoto, D., Suzuki, T. and Ozaki, K. 2020. A Comparative Study of the Market Configuration of the Japanese Pharmaceutical Market Using the Gini Coefficient and Herfindahl-Hirschman Index. Ther. Innov. Regul. Sci., 54(5): 1047-1055. 
30.    Sun J, Luo Y. and Zhou Y., 2022. The Impact of Regional Trade Agreements on the Quality of Export Products in China’s Manufacturing Industry, J. Asian Econ., 80: 101456.
31.    Tinbergen, J. 1962. Shaping the World Economy: Suggestions for an International Economic Policy. Books (Jan Tinbergen). Retrieved from http://hdl.handle.net/1765/16826
32.    Vollrath, T. L. 1991. A Theoretical Evaluation of Alternative Trade Intensity Measures of Revealed Comparative Advantage. Weltwirtschaftliches Archiv, 127(2): 265-280.
33.    Xu, J., Lu, C., Ruan, S. and Xiong, N. N. 2022. Estimating the Efficiency and Potential of China's Steel Products Export to Countries along the “Belt and Road” under Interconnection: An Application of Extended Stochastic Frontier Gravity Model. Resour. Policy, 75: 1-15
34.    Yusuf, N. and Nasrulddin, V. 2024. Significance of International Trade and National GDP as Two Integral Components of Sustainable Economic Development in Saudi Arabia. J. Knowl. Econ., 15(1): 2298-2317.
35.  Zhang, C., Waris, U., Qian, L., Irfan, M. and Abdur Rehman, M. 2024. Unleashing the Dynamic Linkages among Natural Resources, Economic Complexity, and Sustainable Economic Growth: Evidence from G‐20 CountriesSustain. Dev., 32(4): 3736-3752.